Search engine optimization (SEO) isa process of improving the prominence of a website. Following a reverse engineering approach, in this paper, we study and analyze the key influence factors in the process of web search. We firstlybuild a system to automatically crawl all factors of 200 thousand web pages. Then we make a content analysis including PageRank, URL and HTML analysis based on top 20 positions of Google search result pages. Finally we derive top five factors for search engine optimization. It turns out that although SEO factors vary for different websites, the core SEO factors are similar.Therefore, in the common SEO, it is enough to focus on these core factors.
With the developmentof Internet and digital information, search engine has become a very popular method to help to find useful information in our daily life.According to a study,more than 80% of first visits to a website comefromweb search. Of thosevisitsmore than 75% useGoogle’s searchworldwide. Statistics also shows that 84% of Google searchers nevergo beyondthe second page of the search results, and 65%hardly ever click onpaid or sponsored results.In order to make a website or a web page to be more visible, the webmaster or website owner has been making efforts to improve therank of their websites in search engines. This kind of process is called search engine optimization (SEO). In fact,every website has its own SEO more or less, especially for e-commerce site. Apparently, the higher rank a website gets in the search process, the more visits the website will receive, which usually brings the website owner more salesrevenue consequently.In the SEO industry, different websites may have their own optimization goals. But there are some common tactics on optimizing a website, in another word，a website can be optimized by editing its content andHTMLto boost its relevance with the specific keywords. Another SEO technique is to increase the number of inbound links, which also helps topromote a website.In this paper, we analyzenatural search ranking factorsbased on reverse engineering. We will follow an empirical approachto make a series ofanalysis. The rest of the paperis organized as follows. In Section II, we make a content analysis of Google search engine including PageRank,HTML and URLanalysis, and give suggestions toSEO factors for each type of web content respectively. Then in Section III we derive most important SEO factors based on the above content analysis. Finally aconclusion is drawn in Section IV. https://arudhrainnovations.com/
Studies show that the primary reason people visit a website is to look for information they want. However, the search process is usually not completed within one visit. For example, in a buying process visitors usually visita website four to five times before making a purchasing decision. It is a website’s content that brings web visitors back. In the web surfing process Internet users usually click to a website only to find it’s not what they are looking for, and then click away. In order to draw user’s attention and bring them back repeatedly, the website owners must build up a website with a proper target and the right content, which meets visitor’s interest and ranks well in a web search performed by a search engine as well. Search engine, such as Google and Yahoo, has its own spider which is used to crawl either new or refreshed pages. Each crawled page then goes through an indexing process to generate the corresponding indexing information, which helps speed up the user’s search process. In the indexing process, the web content is first parsed, and valuable information is then extracted, and finally the relevant indexing information is generated and stored. The valuable content information in the indexing process could be contained in title, description and URL as well as hyperlinks . Therefore, to optimize a website the web content should be edited in the optimal way. In this section we will make an analysis of web content and find out which factors play the important role in web search.In theanalysis, we firstly build an automatic system to crawl all factors of 200 thousand web pages. Then we make a content analysis including URL, HTML and PageRank analysis based on top 20 positions of Googlesearch result pages. Based on the analysis result we derive SEO rules and give valuable suggestions for search engine optimization
Before describing the content analysis, we need to classify some search keywords in the search engine by different segments. In particular, we choose 10 thousand keywords as a sample set, and then divide them into three segments according to their Google search volumes in the past three months, which correspondsto high, medium and low search volumes respectively. These three segments are then defined as Hot/Middle/Cold segments. The main goal of classification is to identify different SEO factors .Arudhra Innovations SEO Digital Marketing Web Design